Salary for Mid-level / Intermediate Data Operations Associate during 2024

Salary details

The average mid-level / intermediate Data Operations Associate salary lies between USD 65,000 and USD 91,900 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Operations Associate roles

The three most common job tag items assiciated with mid-level / intermediate Data Operations Associate job listings are DataOps, Excel and SQL. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

DataOps | 28 jobs Excel | 16 jobs SQL | 14 jobs Data quality | 14 jobs Research | 12 jobs Banking | 7 jobs Tableau | 6 jobs Engineering | 5 jobs Finance | 5 jobs Testing | 5 jobs Data analysis | 5 jobs Python | 4 jobs R | 4 jobs Big Data | 4 jobs Business Intelligence | 4 jobs Statistics | 4 jobs Data management | 4 jobs Computer Science | 4 jobs RDBMS | 4 jobs Salesforce | 4 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Operations Associate roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Operations Associate job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 17 jobs Health care | 11 jobs Equity / stock options | 9 jobs Team events | 8 jobs Competitive pay | 6 jobs Salary bonus | 6 jobs Flex hours | 5 jobs Flex vacation | 4 jobs Wellness | 4 jobs Startup environment | 4 jobs Fitness / gym | 3 jobs Parental leave | 2 jobs Transparency | 2 jobs Insurance | 2 jobs Unlimited paid time off | 2 jobs 401(k) matching | 1 jobs Signing bonus | 1 jobs Snacks / Drinks | 1 jobs Medical leave | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Mid-level Data Operations Associate in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement contributions, and professional development allowances.

Regional differences can also impact salary composition. For instance, positions in tech hubs like San Francisco or New York may offer higher base salaries and stock options due to the higher cost of living and competitive job market. Industry also plays a role; tech and finance sectors often provide more lucrative compensation packages compared to non-profit or educational sectors. Company size can influence the structure as well, with larger companies potentially offering more comprehensive benefits and smaller companies offering more equity-based compensation.

Increasing Salary

To increase your salary from a Mid-level Data Operations Associate position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging technologies and tools relevant to AI/ML and data science.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive for higher-paying roles.
• Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary increases.
• Negotiation Skills: Develop strong negotiation skills to effectively advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Mid-level Data Operations Associate roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering. Some positions may prefer candidates with a master's degree, especially in competitive markets or for roles with more complex responsibilities. A strong foundation in quantitative and analytical skills is essential, along with coursework in programming, data management, and machine learning.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Professional (CDP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate for advanced roles.

Required Experience

Typically, a Mid-level Data Operations Associate position requires 2-5 years of relevant experience. This experience should include hands-on work with data analysis, data management, and familiarity with machine learning models and tools. Experience in a specific industry can also be beneficial, as it provides context and understanding of industry-specific data challenges and solutions.

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